Being Mortal in the age of Artificial Intelligence

45-minute Keynote

This keynote will highlight common myths surrounding AI, how it is affecting human life and software, discuss "Deeply Inclusive AI" and future of humans in an AI world.

Timetable

9:10 a.m. – 9:55 a.m. Wednesday 6th

Room

Room F1+F2+F3 - Plenary

Audience

Anyone interested to know how AI is influencing human life and software

Key-Learning

  • Know origins of AI
  • Debunk myths surrounding artificial neural networks
  • Impact of AI on Human Life
  • Impact on Software Development and Testing
  • How "Deeply Inclusive AI" is the future

Learn everything you need to know about AI and its impact on humans and software

We live in a golden age where technology influences every facet of our daily lives. This is especially true with the coming of “Artificial Intelligence” (AI). AI is everywhere – from virtual assistants like Alexa, Google Home and Siri to aiding the creation of new disruptive technology like autonomous cars, blockchain and cryptocurrency. Areas of healthcare, finance, retail, customer analytics and manufacturing have already started seeing positive effects of using AI, many of which we would have never thought is possible just a few years ago. At the same time, we have downsides of using AI, such as how it can easily be influenced on issues of race, culture and diversity, making it a burden to society.

In this talk, I will discuss the origins of AI, debunk some of the myths surrounding artificial neural networks and discuss how AI could have an unprecedented positive effect on human life if used in the right way. I will provide some insights into AI safety research, and discuss the future of AI, known as “Deeply Inclusive AI”. Now, how does it applies to testing? AI-based testing can have a positive impact on several facets of software testing, especially test automation. I will discuss the current possibilities with AI and testing as well. Attending my keynote will help influence the way we think about AI and help people realize that we are still far away from creating “broad” AI that can react and think like humans.

Related Sessions

10:25 a.m. – 10:55 a.m.
Room F3 - Track 3: Talks

30-minute Talk

9:00 a.m. – 5:00 p.m.

Full-Day Tutorial (6 hours)

9:00 a.m. – 5:00 p.m.

Full-Day Tutorial (6 hours)

11:10 a.m. – 11:40 a.m.
Room F3 - Track 3: Talks

30-minute Talk